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updated changelog for Gosh
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konstantinstadler committed Apr 2, 2024
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Expand Up @@ -6,6 +6,16 @@ Changelog
v0.5.4 dev
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New features
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* Added Gosh implementation for downstream analysis (by @Beckebanze , #136)

- equivalent of A for Ghosh (A* in literature, called As in pymrio)
- the Ghosh inverse (often referred to G in literature).
- downstream scope 3 multiplier, M_{down}, such the sum of the M+M_{down} is the full scope multiplier, with M the existing multiplier in pymrio that covers scope 1,2&3 upstream.
- a short addition to the pymrio background page that introduces the Ghosh model
- tests that test the functionality of the added functions

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v0.5.3 - 20231023
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2 comments on commit 9449717

@rich-wood
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  • I thought it was usually B in the literature for sales coefficients (listed as A* or As above) - is B already used in pymrio?
  • Be careful about "downstream scope 3 multiplier, M_{down}, such the sum of the M+M_{down} is the full scope multiplier, with M the existing multiplier in pymrio that covers scope 1,2&3 upstream"
    The Ghosh multiplier shows the change in production relative to a change in primary inputs, not demand. Adding a Leontief multiplier and a Ghosh multiplier would be adding apples and oranges.

@Beckebanze
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True, B is often used in literature as well. Coding-wise, the letter B is still available in pymrio, but in the pymrio documentaiton, B is used for the aggregation matrices.

It indeed depends on the context whether the full scope 1,2&3 upstream (M) and downstream (M_{down}) can be added up. The two should not be added for uses case where demand and primary inputs are the monetary flows for which the associated factors of production (i.e. environmental footprint) are calculated. For a company that wants to identify its factors of production in the full supply chain (scope 1, 2 and 3 upstream and downstream), it is possible to add up M+M_{down} to get the full-scope-multiplier for the sector-region to which the company belongs.

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